Dataset statistics
| Number of variables | 21 |
|---|---|
| Number of observations | 2630 |
| Missing cells | 962 |
| Missing cells (%) | 1.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 431.6 KiB |
| Average record size in memory | 168.0 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 11 |
Age is highly correlated with WorkExperience | High correlation |
WorkExperience is highly correlated with Age and 2 other fields | High correlation |
LastPromotion is highly correlated with CurrentProfile | High correlation |
CurrentProfile is highly correlated with WorkExperience and 1 other fields | High correlation |
MonthlyIncome is highly correlated with WorkExperience | High correlation |
Age is highly correlated with WorkExperience | High correlation |
WorkExperience is highly correlated with Age and 1 other fields | High correlation |
LastPromotion is highly correlated with CurrentProfile | High correlation |
CurrentProfile is highly correlated with LastPromotion | High correlation |
MonthlyIncome is highly correlated with WorkExperience | High correlation |
Age is highly correlated with WorkExperience | High correlation |
WorkExperience is highly correlated with Age and 1 other fields | High correlation |
MonthlyIncome is highly correlated with WorkExperience | High correlation |
Department is highly correlated with EducationField | High correlation |
EducationField is highly correlated with Department | High correlation |
Age is highly correlated with Designation and 2 other fields | High correlation |
Department is highly correlated with EducationField | High correlation |
EducationField is highly correlated with Department | High correlation |
Designation is highly correlated with Age and 3 other fields | High correlation |
WorkExperience is highly correlated with Age and 4 other fields | High correlation |
LastPromotion is highly correlated with WorkExperience and 1 other fields | High correlation |
CurrentProfile is highly correlated with Designation and 2 other fields | High correlation |
MonthlyIncome is highly correlated with Age and 2 other fields | High correlation |
Age has 142 (5.4%) missing values | Missing |
Department has 58 (2.2%) missing values | Missing |
HomeToWork has 126 (4.8%) missing values | Missing |
Gender has 30 (1.1%) missing values | Missing |
HourlnWeek has 136 (5.2%) missing values | Missing |
Designation has 30 (1.1%) missing values | Missing |
SalaryHikelastYear has 94 (3.6%) missing values | Missing |
WorkExperience has 122 (4.6%) missing values | Missing |
LastPromotion has 57 (2.2%) missing values | Missing |
CurrentProfile has 134 (5.1%) missing values | Missing |
MonthlyIncome has 33 (1.3%) missing values | Missing |
EmployeeID is uniformly distributed | Uniform |
EmployeeID has unique values | Unique |
NumCompaniesWorked has 191 (7.3%) zeros | Zeros |
LastPromotion has 575 (21.9%) zeros | Zeros |
CurrentProfile has 264 (10.0%) zeros | Zeros |
Reproduction
| Analysis started | 2022-06-17 19:22:49.332366 |
|---|---|
| Analysis finished | 2022-06-17 19:23:14.970035 |
| Duration | 25.64 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 2630 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6111315.5 |
| Minimum | 6110001 |
|---|---|
| Maximum | 6112630 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 6110001 |
|---|---|
| 5-th percentile | 6110132.45 |
| Q1 | 6110658.25 |
| median | 6111315.5 |
| Q3 | 6111972.75 |
| 95-th percentile | 6112498.55 |
| Maximum | 6112630 |
| Range | 2629 |
| Interquartile range (IQR) | 1314.5 |
Descriptive statistics
| Standard deviation | 759.3599278 |
|---|---|
| Coefficient of variation (CV) | 0.0001242547415 |
| Kurtosis | -1.2 |
| Mean | 6111315.5 |
| Median Absolute Deviation (MAD) | 657.5 |
| Skewness | 0 |
| Sum | 1.607275976 × 1010 |
| Variance | 576627.5 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6111232 | 1 | < 0.1% |
| 6110024 | 1 | < 0.1% |
| 6110026 | 1 | < 0.1% |
| 6112075 | 1 | < 0.1% |
| 6110028 | 1 | < 0.1% |
| 6112077 | 1 | < 0.1% |
| 6110030 | 1 | < 0.1% |
| 6112079 | 1 | < 0.1% |
| 6110032 | 1 | < 0.1% |
| 6112081 | 1 | < 0.1% |
| Other values (2620) | 2620 |
| Value | Count | Frequency (%) |
| 6110001 | 1 | |
| 6110002 | 1 | |
| 6110003 | 1 | |
| 6110004 | 1 | |
| 6110005 | 1 | |
| 6110006 | 1 | |
| 6110007 | 1 | |
| 6110008 | 1 | |
| 6110009 | 1 | |
| 6110010 | 1 |
| Value | Count | Frequency (%) |
| 6112630 | 1 | |
| 6112629 | 1 | |
| 6112628 | 1 | |
| 6112627 | 1 | |
| 6112626 | 1 | |
| 6112625 | 1 | |
| 6112624 | 1 | |
| 6112623 | 1 | |
| 6112622 | 1 | |
| 6112621 | 1 |
| Distinct | 44 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 142 |
| Missing (%) | 5.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.42564309 |
| Minimum | 18 |
|---|---|
| Maximum | 61 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 24 |
| Q1 | 31 |
| median | 36 |
| Q3 | 44 |
| 95-th percentile | 55 |
| Maximum | 61 |
| Range | 43 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.357662099 |
|---|---|
| Coefficient of variation (CV) | 0.250033435 |
| Kurtosis | -0.491859837 |
| Mean | 37.42564309 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.3618880296 |
| Sum | 93115 |
| Variance | 87.56583996 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=44)
| Value | Count | Frequency (%) |
| 34 | 124 | 4.7% |
| 35 | 123 | 4.7% |
| 36 | 119 | 4.5% |
| 31 | 114 | 4.3% |
| 30 | 112 | 4.3% |
| 32 | 110 | 4.2% |
| 33 | 98 | 3.7% |
| 29 | 94 | 3.6% |
| 37 | 88 | 3.3% |
| 41 | 85 | 3.2% |
| Other values (34) | 1421 | |
| (Missing) | 142 | 5.4% |
| Value | Count | Frequency (%) |
| 18 | 10 | 0.4% |
| 19 | 25 | 1.0% |
| 20 | 16 | 0.6% |
| 21 | 21 | 0.8% |
| 22 | 27 | 1.0% |
| 23 | 24 | 0.9% |
| 24 | 40 | |
| 25 | 43 | |
| 26 | 57 | |
| 27 | 71 |
| Value | Count | Frequency (%) |
| 61 | 3 | 0.1% |
| 60 | 8 | 0.3% |
| 59 | 22 | |
| 58 | 23 | |
| 57 | 13 | 0.5% |
| 56 | 33 | |
| 55 | 32 | |
| 54 | 36 | |
| 53 | 37 | |
| 52 | 31 |
TravelProfile
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.7 KiB |
| Rarely | |
|---|---|
| Yes | |
| No |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.017870722 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | No |
|---|---|
| 2nd row | Rarely |
| 3rd row | Rarely |
| 4th row | Rarely |
| 5th row | Rarely |
Common Values
| Value | Count | Frequency (%) |
| Rarely | 1852 | |
| Yes | 529 | 20.1% |
| No | 249 | 9.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| rarely | 1852 | |
| yes | 529 | 20.1% |
| no | 249 | 9.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 58 |
| Missing (%) | 2.2% |
| Memory size | 20.7 KiB |
| Analytics | |
|---|---|
| Sales | |
| Marketing | 105 |
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 7.768273717 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Analytics |
|---|---|
| 2nd row | Analytics |
| 3rd row | Sales |
| 4th row | Analytics |
| 5th row | Analytics |
Common Values
| Value | Count | Frequency (%) |
| Analytics | 1675 | |
| Sales | 792 | |
| Marketing | 105 | 4.0% |
| (Missing) | 58 | 2.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| analytics | 1675 | |
| sales | 792 | |
| marketing | 105 | 4.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 35 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 126 |
| Missing (%) | 4.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.42811502 |
| Minimum | 1 |
|---|---|
| Maximum | 123 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 9 |
| Q3 | 17 |
| 95-th percentile | 28 |
| Maximum | 123 |
| Range | 122 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 8.84832599 |
|---|---|
| Coefficient of variation (CV) | 0.7742594451 |
| Kurtosis | 9.330962804 |
| Mean | 11.42811502 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 1.539657841 |
| Sum | 28616 |
| Variance | 78.29287283 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=35)
| Value | Count | Frequency (%) |
| 3 | 315 | 12.0% |
| 5 | 217 | 8.3% |
| 10 | 165 | 6.3% |
| 1 | 152 | 5.8% |
| 11 | 137 | 5.2% |
| 6 | 125 | 4.8% |
| 8 | 123 | 4.7% |
| 4 | 116 | 4.4% |
| 9 | 113 | 4.3% |
| 7 | 103 | 3.9% |
| Other values (25) | 938 | |
| (Missing) | 126 | 4.8% |
| Value | Count | Frequency (%) |
| 1 | 152 | |
| 2 | 28 | 1.1% |
| 3 | 315 | |
| 4 | 116 | 4.4% |
| 5 | 217 | |
| 6 | 125 | 4.8% |
| 7 | 103 | 3.9% |
| 8 | 123 | 4.7% |
| 9 | 113 | 4.3% |
| 10 | 165 |
| Value | Count | Frequency (%) |
| 123 | 1 | < 0.1% |
| 36 | 1 | < 0.1% |
| 34 | 2 | 0.1% |
| 32 | 24 | 0.9% |
| 31 | 18 | 0.7% |
| 30 | 42 | |
| 29 | 36 | |
| 28 | 31 | |
| 27 | 52 | |
| 26 | 64 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.7 KiB |
| Statistics | |
|---|---|
| CA | |
| Marketing Diploma | |
| Engineer | |
| Other |
Length
| Max length | 17 |
|---|---|
| Median length | 10 |
| Mean length | 7.601520913 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | CA |
|---|---|
| 2nd row | Statistics |
| 3rd row | CA |
| 4th row | Statistics |
| 5th row | CA |
Common Values
| Value | Count | Frequency (%) |
| Statistics | 1040 | |
| CA | 857 | |
| Marketing Diploma | 291 | 11.1% |
| Engineer | 263 | 10.0% |
| Other | 145 | 5.5% |
| MBA | 34 | 1.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| statistics | 1040 | |
| ca | 857 | |
| marketing | 291 | 10.0% |
| diploma | 291 | 10.0% |
| engineer | 263 | 9.0% |
| other | 145 | 5.0% |
| mba | 34 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 30 |
| Missing (%) | 1.1% |
| Memory size | 20.7 KiB |
| Male | |
|---|---|
| Female | |
| F |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.127692308 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Male |
|---|---|
| 2nd row | Female |
| 3rd row | Female |
| 4th row | Female |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Male | 1574 | |
| Female | 682 | |
| F | 344 | 13.1% |
| (Missing) | 30 | 1.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| male | 1574 | |
| female | 682 | |
| f | 344 | 13.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 61 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 136 |
| Missing (%) | 5.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 57.86327185 |
| Minimum | 12 |
|---|---|
| Maximum | 110 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 12 |
|---|---|
| 5-th percentile | 34 |
| Q1 | 49 |
| median | 59 |
| Q3 | 67 |
| 95-th percentile | 79 |
| Maximum | 110 |
| Range | 98 |
| Interquartile range (IQR) | 18 |
Descriptive statistics
| Standard deviation | 13.23450703 |
|---|---|
| Coefficient of variation (CV) | 0.2287203369 |
| Kurtosis | -0.4597890926 |
| Mean | 57.86327185 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | -0.1798546976 |
| Sum | 144311 |
| Variance | 175.1521764 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 54 | 86 | 3.3% |
| 66 | 83 | 3.2% |
| 62 | 82 | 3.1% |
| 56 | 82 | 3.1% |
| 68 | 82 | 3.1% |
| 59 | 80 | 3.0% |
| 64 | 80 | 3.0% |
| 57 | 71 | 2.7% |
| 61 | 71 | 2.7% |
| 53 | 66 | 2.5% |
| Other values (51) | 1711 | |
| (Missing) | 136 | 5.2% |
| Value | Count | Frequency (%) |
| 12 | 1 | < 0.1% |
| 14 | 1 | < 0.1% |
| 23 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 30 | 19 | |
| 31 | 17 | 0.6% |
| 32 | 45 | |
| 33 | 27 | |
| 34 | 24 | |
| 35 | 31 |
| Value | Count | Frequency (%) |
| 110 | 1 | < 0.1% |
| 101 | 2 | 0.1% |
| 99 | 1 | < 0.1% |
| 87 | 1 | < 0.1% |
| 82 | 34 | |
| 81 | 19 | 0.7% |
| 80 | 57 | |
| 79 | 43 | |
| 78 | 26 | |
| 77 | 32 |
Involvement
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.7 KiB |
| 3 | |
|---|---|
| 4 | |
| 1 | |
| 5 | |
| 2 | 60 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 1 |
| 3rd row | 3 |
| 4th row | 5 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 1510 | |
| 4 | 698 | |
| 1 | 183 | 7.0% |
| 5 | 179 | 6.8% |
| 2 | 60 | 2.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 1510 | |
| 4 | 698 | |
| 1 | 183 | 7.0% |
| 5 | 179 | 6.8% |
| 2 | 60 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
WorkLifeBalance
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.7 KiB |
| 4 | |
|---|---|
| 5 | |
| 3 | |
| 1 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 575 | |
| 5 | 553 | |
| 3 | 504 | |
| 1 | 501 | |
| 2 | 497 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 4 | 575 | |
| 5 | 553 | |
| 3 | 504 | |
| 1 | 501 | |
| 2 | 497 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 30 |
| Missing (%) | 1.1% |
| Memory size | 20.7 KiB |
| Executive | |
|---|---|
| Manager | |
| Senior Manager | |
| AVP | |
| VP |
Length
| Max length | 14 |
|---|---|
| Median length | 9 |
| Mean length | 8.316153846 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Executive |
|---|---|
| 2nd row | Executive |
| 3rd row | Executive |
| 4th row | Manager |
| 5th row | Senior Manager |
Common Values
| Value | Count | Frequency (%) |
| Executive | 993 | |
| Manager | 920 | |
| Senior Manager | 391 | 14.9% |
| AVP | 179 | 6.8% |
| VP | 117 | 4.4% |
| (Missing) | 30 | 1.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| manager | 1311 | |
| executive | 993 | |
| senior | 391 | 13.1% |
| avp | 179 | 6.0% |
| vp | 117 | 3.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
JobSatisfaction
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.7 KiB |
| 3 | |
|---|---|
| 5 | |
| 4 | |
| 1 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 1 |
| 3rd row | 5 |
| 4th row | 3 |
| 5th row | 5 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 803 | |
| 5 | 520 | |
| 4 | 511 | |
| 1 | 451 | |
| 2 | 345 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 803 | |
| 5 | 520 | |
| 4 | 511 | |
| 1 | 451 | |
| 2 | 345 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
ESOPs
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.7 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1328 | |
| 0 | 1302 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 1328 | |
| 0 | 1302 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 13 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.222813688 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 191 |
| Zeros (%) | 7.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 5 |
| 95-th percentile | 9 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.6636924 |
|---|---|
| Coefficient of variation (CV) | 0.8265114454 |
| Kurtosis | 1.18376494 |
| Mean | 3.222813688 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.119860297 |
| Sum | 8476 |
| Variance | 7.0952572 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 1 | 670 | |
| 2 | 557 | |
| 3 | 273 | |
| 4 | 245 | 9.3% |
| 0 | 191 | 7.3% |
| 5 | 170 | 6.5% |
| 7 | 131 | 5.0% |
| 8 | 129 | 4.9% |
| 6 | 121 | 4.6% |
| 9 | 90 | 3.4% |
| Other values (3) | 53 | 2.0% |
| Value | Count | Frequency (%) |
| 0 | 191 | 7.3% |
| 1 | 670 | |
| 2 | 557 | |
| 3 | 273 | |
| 4 | 245 | 9.3% |
| 5 | 170 | 6.5% |
| 6 | 121 | 4.6% |
| 7 | 131 | 5.0% |
| 8 | 129 | 4.9% |
| 9 | 90 | 3.4% |
| Value | Count | Frequency (%) |
| 20 | 2 | 0.1% |
| 18 | 1 | < 0.1% |
| 10 | 50 | 1.9% |
| 9 | 90 | 3.4% |
| 8 | 129 | |
| 7 | 131 | |
| 6 | 121 | |
| 5 | 170 | |
| 4 | 245 | |
| 3 | 273 |
OverTime
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1762 | |
| 1 | 868 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 1762 | |
| 1 | 868 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 94 |
| Missing (%) | 3.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.63682965 |
| Minimum | 16 |
|---|---|
| Maximum | 31 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 16 |
|---|---|
| 5-th percentile | 16 |
| Q1 | 18 |
| median | 19 |
| Q3 | 23 |
| 95-th percentile | 28 |
| Maximum | 31 |
| Range | 15 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.725519442 |
|---|---|
| Coefficient of variation (CV) | 0.1805277024 |
| Kurtosis | -0.2349315835 |
| Mean | 20.63682965 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.8306511734 |
| Sum | 52335 |
| Variance | 13.87949511 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 18 | 368 | |
| 17 | 349 | |
| 19 | 348 | |
| 20 | 235 | |
| 16 | 207 | |
| 21 | 166 | |
| 23 | 150 | |
| 22 | 139 | 5.3% |
| 24 | 124 | 4.7% |
| 25 | 109 | 4.1% |
| Other values (6) | 341 | |
| (Missing) | 94 | 3.6% |
| Value | Count | Frequency (%) |
| 16 | 207 | |
| 17 | 349 | |
| 18 | 368 | |
| 19 | 348 | |
| 20 | 235 | |
| 21 | 166 | |
| 22 | 139 | 5.3% |
| 23 | 150 | |
| 24 | 124 | 4.7% |
| 25 | 109 | 4.1% |
| Value | Count | Frequency (%) |
| 31 | 16 | 0.6% |
| 30 | 39 | 1.5% |
| 29 | 38 | 1.4% |
| 28 | 79 | |
| 27 | 85 | |
| 26 | 84 | |
| 25 | 109 | |
| 24 | 124 | |
| 23 | 150 | |
| 22 | 139 |
WorkExperience
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 41 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 122 |
| Missing (%) | 4.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.52551834 |
| Minimum | 0 |
|---|---|
| Maximum | 41 |
| Zeros | 15 |
| Zeros (%) | 0.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 10 |
| Q3 | 16 |
| 95-th percentile | 29 |
| Maximum | 41 |
| Range | 41 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 8.125348431 |
|---|---|
| Coefficient of variation (CV) | 0.7049876796 |
| Kurtosis | 0.9534174293 |
| Mean | 11.52551834 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.137623678 |
| Sum | 28906 |
| Variance | 66.02128713 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 10 | 253 | 9.6% |
| 11 | 185 | 7.0% |
| 9 | 183 | 7.0% |
| 7 | 175 | 6.7% |
| 6 | 169 | 6.4% |
| 5 | 137 | 5.2% |
| 8 | 132 | 5.0% |
| 2 | 126 | 4.8% |
| 1 | 112 | 4.3% |
| 4 | 101 | 3.8% |
| Other values (31) | 935 | |
| (Missing) | 122 | 4.6% |
| Value | Count | Frequency (%) |
| 0 | 15 | 0.6% |
| 1 | 112 | |
| 2 | 126 | |
| 3 | 60 | 2.3% |
| 4 | 101 | |
| 5 | 137 | |
| 6 | 169 | |
| 7 | 175 | |
| 8 | 132 | |
| 9 | 183 |
| Value | Count | Frequency (%) |
| 41 | 4 | 0.2% |
| 40 | 5 | 0.2% |
| 38 | 3 | 0.1% |
| 37 | 8 | 0.3% |
| 36 | 10 | |
| 35 | 9 | |
| 34 | 14 | |
| 33 | 13 | |
| 32 | 20 | |
| 31 | 11 |
| Distinct | 17 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 57 |
| Missing (%) | 2.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.661095997 |
| Minimum | 0 |
|---|---|
| Maximum | 16 |
| Zeros | 575 |
| Zeros (%) | 21.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 10 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 3.303497117 |
|---|---|
| Coefficient of variation (CV) | 1.241404715 |
| Kurtosis | 3.260244084 |
| Mean | 2.661095997 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.88606408 |
| Sum | 6847 |
| Variance | 10.9130932 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 1 | 783 | |
| 0 | 575 | |
| 2 | 434 | |
| 3 | 167 | 6.3% |
| 4 | 111 | 4.2% |
| 7 | 94 | 3.6% |
| 8 | 89 | 3.4% |
| 5 | 85 | 3.2% |
| 6 | 58 | 2.2% |
| 9 | 36 | 1.4% |
| Other values (7) | 141 | 5.4% |
| (Missing) | 57 | 2.2% |
| Value | Count | Frequency (%) |
| 0 | 575 | |
| 1 | 783 | |
| 2 | 434 | |
| 3 | 167 | 6.3% |
| 4 | 111 | 4.2% |
| 5 | 85 | 3.2% |
| 6 | 58 | 2.2% |
| 7 | 94 | 3.6% |
| 8 | 89 | 3.4% |
| 9 | 36 | 1.4% |
| Value | Count | Frequency (%) |
| 16 | 8 | 0.3% |
| 15 | 24 | 0.9% |
| 14 | 18 | 0.7% |
| 13 | 19 | 0.7% |
| 12 | 28 | 1.1% |
| 11 | 21 | 0.8% |
| 10 | 23 | 0.9% |
| 9 | 36 | 1.4% |
| 8 | 89 | |
| 7 | 94 |
| Distinct | 19 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 134 |
| Missing (%) | 5.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.506810897 |
| Minimum | 0 |
|---|---|
| Maximum | 18 |
| Zeros | 264 |
| Zeros (%) | 10.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 8 |
| 95-th percentile | 10.25 |
| Maximum | 18 |
| Range | 18 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.585423854 |
|---|---|
| Coefficient of variation (CV) | 0.7955567553 |
| Kurtosis | 0.2019970143 |
| Mean | 4.506810897 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.7999550479 |
| Sum | 11249 |
| Variance | 12.85526421 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 3 | 372 | |
| 2 | 356 | |
| 1 | 299 | |
| 8 | 283 | |
| 0 | 264 | |
| 7 | 217 | |
| 4 | 204 | |
| 9 | 154 | |
| 5 | 99 | 3.8% |
| 10 | 65 | 2.5% |
| Other values (9) | 183 | |
| (Missing) | 134 | 5.1% |
| Value | Count | Frequency (%) |
| 0 | 264 | |
| 1 | 299 | |
| 2 | 356 | |
| 3 | 372 | |
| 4 | 204 | |
| 5 | 99 | 3.8% |
| 6 | 58 | 2.2% |
| 7 | 217 | |
| 8 | 283 | |
| 9 | 154 |
| Value | Count | Frequency (%) |
| 18 | 5 | 0.2% |
| 17 | 10 | 0.4% |
| 16 | 4 | 0.2% |
| 15 | 11 | 0.4% |
| 14 | 13 | 0.5% |
| 13 | 21 | 0.8% |
| 12 | 29 | 1.1% |
| 11 | 32 | 1.2% |
| 10 | 65 | |
| 9 | 154 |
MaritalStatus
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.7 KiB |
| Single | |
|---|---|
| Married | |
| Divorsed | |
| M |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 5.961977186 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Single |
|---|---|
| 2nd row | Single |
| 3rd row | M |
| 4th row | Married |
| 5th row | Married |
Common Values
| Value | Count | Frequency (%) |
| Single | 933 | |
| Married | 841 | |
| Divorsed | 477 | |
| M | 379 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| single | 933 | |
| married | 841 | |
| divorsed | 477 | |
| m | 379 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
MonthlyIncome
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 1707 |
|---|---|
| Distinct (%) | 65.7% |
| Missing | 33 |
| Missing (%) | 1.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21824.03889 |
| Minimum | 1000 |
|---|---|
| Maximum | 96000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.7 KiB |
Quantile statistics
| Minimum | 1000 |
|---|---|
| 5-th percentile | 17258 |
| Q1 | 18407 |
| median | 20332 |
| Q3 | 23587 |
| 95-th percentile | 33062.4 |
| Maximum | 96000 |
| Range | 95000 |
| Interquartile range (IQR) | 5180 |
Descriptive statistics
| Standard deviation | 5092.623158 |
|---|---|
| Coefficient of variation (CV) | 0.2333492523 |
| Kurtosis | 33.87942272 |
| Mean | 21824.03889 |
| Median Absolute Deviation (MAD) | 2131 |
| Skewness | 3.317546033 |
| Sum | 56677029 |
| Variance | 25934810.63 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 17564 | 7 | 0.3% |
| 21346 | 7 | 0.3% |
| 25400 | 6 | 0.2% |
| 17293 | 6 | 0.2% |
| 18404 | 6 | 0.2% |
| 18342 | 6 | 0.2% |
| 18319 | 5 | 0.2% |
| 18408 | 5 | 0.2% |
| 18691 | 5 | 0.2% |
| 20828 | 5 | 0.2% |
| Other values (1697) | 2539 | |
| (Missing) | 33 | 1.3% |
| Value | Count | Frequency (%) |
| 1000 | 1 | |
| 2000 | 1 | |
| 16052 | 1 | |
| 16081 | 1 | |
| 16091 | 1 | |
| 16118 | 1 | |
| 16200 | 1 | |
| 16232 | 1 | |
| 16274 | 1 | |
| 16281 | 2 |
| Value | Count | Frequency (%) |
| 96000 | 1 | |
| 95000 | 1 | |
| 35943 | 1 | |
| 35926 | 1 | |
| 35847 | 1 | |
| 35845 | 2 | |
| 35833 | 2 | |
| 35740 | 1 | |
| 35717 | 1 | |
| 35658 | 2 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| EmployeeID | Age | TravelProfile | Department | HomeToWork | EducationField | Gender | HourlnWeek | Involvement | WorkLifeBalance | Designation | JobSatisfaction | ESOPs | NumCompaniesWorked | OverTime | SalaryHikelastYear | WorkExperience | LastPromotion | CurrentProfile | MaritalStatus | MonthlyIncome | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 6110001 | 18.0 | No | NaN | 9.0 | CA | Male | 80.0 | 3 | 2 | Executive | 3 | 1 | 1 | 0 | 17.0 | 0.0 | 0.0 | 0.0 | Single | 16904.0 |
| 1 | 6110002 | 20.0 | Rarely | Analytics | 28.0 | Statistics | Female | 59.0 | 1 | 3 | Executive | 1 | 1 | 2 | 1 | 18.0 | 2.0 | 1.0 | NaN | Single | 18994.0 |
| 2 | 6110003 | 50.0 | Rarely | Analytics | 19.0 | CA | Female | 76.0 | 3 | 3 | Executive | 5 | 0 | 5 | 1 | 22.0 | 18.0 | 3.0 | 3.0 | M | 18587.0 |
| 3 | 6110004 | 32.0 | Rarely | Sales | 23.0 | Statistics | Female | 73.0 | 5 | 2 | Manager | 3 | 0 | 4 | 1 | 17.0 | 5.0 | 3.0 | 3.0 | Married | 20559.0 |
| 4 | 6110005 | 39.0 | Rarely | Analytics | 7.0 | CA | Male | 42.0 | 4 | 1 | Senior Manager | 5 | 1 | 4 | 0 | 20.0 | 9.0 | 1.0 | 7.0 | Married | 24991.0 |
| 5 | 6110006 | 48.0 | Rarely | Analytics | 5.0 | Statistics | Male | 78.0 | 4 | 3 | Senior Manager | 3 | 0 | 7 | 0 | 19.0 | 27.0 | 4.0 | 8.0 | Single | 25999.0 |
| 6 | 6110007 | 35.0 | Yes | Marketing | 26.0 | MBA | F | 45.0 | 3 | 1 | Senior Manager | 5 | 0 | 10 | 1 | 21.0 | 12.0 | 1.0 | 3.0 | Married | 25950.0 |
| 7 | 6110008 | 33.0 | Rarely | Sales | 11.0 | Engineer | Female | 67.0 | 4 | 1 | Manager | 4 | 0 | 2 | 1 | 17.0 | NaN | 12.0 | 10.0 | Married | 21228.0 |
| 8 | 6110009 | 54.0 | Rarely | Analytics | 10.0 | Statistics | Female | 67.0 | 3 | 3 | Manager | 3 | 0 | 3 | 0 | 16.0 | 9.0 | 2.0 | 3.0 | M | 17897.0 |
| 9 | 6110010 | 45.0 | No | Sales | 7.0 | CA | F | 57.0 | 4 | 5 | Senior Manager | 1 | 0 | 6 | 0 | 17.0 | 23.0 | 12.0 | 8.0 | Single | 23865.0 |
Last rows
| EmployeeID | Age | TravelProfile | Department | HomeToWork | EducationField | Gender | HourlnWeek | Involvement | WorkLifeBalance | Designation | JobSatisfaction | ESOPs | NumCompaniesWorked | OverTime | SalaryHikelastYear | WorkExperience | LastPromotion | CurrentProfile | MaritalStatus | MonthlyIncome | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2620 | 6112621 | 26.0 | Rarely | Analytics | 6.0 | CA | Male | 63.0 | 3 | 5 | Executive | 5 | 1 | 6 | 0 | 19.0 | 7.0 | 1.0 | 3.0 | Divorsed | 20031.0 |
| 2621 | 6112622 | 40.0 | Yes | Analytics | 7.0 | CA | Female | 53.0 | 3 | 2 | Manager | 3 | 1 | 1 | 0 | 19.0 | NaN | 4.0 | 9.0 | Single | 21042.0 |
| 2622 | 6112623 | 45.0 | Rarely | Analytics | 6.0 | Statistics | Male | 61.0 | 3 | 3 | Executive | 5 | 1 | 5 | 0 | 18.0 | 11.0 | 2.0 | 3.0 | Divorsed | 18362.0 |
| 2623 | 6112624 | 33.0 | Rarely | Sales | 7.0 | CA | Male | 34.0 | 5 | 4 | Senior Manager | 2 | 0 | 2 | 0 | 17.0 | 15.0 | 10.0 | 9.0 | Divorsed | 26400.0 |
| 2624 | 6112625 | 33.0 | Rarely | Analytics | 1.0 | CA | F | 65.0 | 1 | 4 | AVP | 3 | 0 | 4 | 0 | 24.0 | 10.0 | 0.0 | 5.0 | Married | 31184.0 |
| 2625 | 6112626 | 46.0 | Rarely | Sales | 12.0 | Marketing Diploma | Male | 76.0 | 3 | 5 | Senior Manager | 5 | 1 | 5 | 1 | 18.0 | 10.0 | 1.0 | 3.0 | Married | 26761.0 |
| 2626 | 6112627 | 29.0 | Rarely | Analytics | 22.0 | CA | Male | 80.0 | 4 | 4 | Executive | 5 | 0 | 2 | 0 | 18.0 | 7.0 | 4.0 | 4.0 | Divorsed | 19196.0 |
| 2627 | 6112628 | 44.0 | Rarely | Analytics | 8.0 | CA | F | 42.0 | 4 | 1 | Senior Manager | 1 | 1 | 3 | 0 | 19.0 | 24.0 | 5.0 | 17.0 | Married | 25248.0 |
| 2628 | 6112629 | NaN | Rarely | Analytics | 11.0 | Statistics | Female | NaN | 4 | 3 | Executive | 4 | 0 | 2 | 0 | 18.0 | 2.0 | 1.0 | 1.0 | Single | 17261.0 |
| 2629 | 6112630 | 50.0 | Yes | Analytics | 1.0 | Statistics | F | 73.0 | 3 | 4 | VP | 4 | 1 | 3 | 1 | 24.0 | 28.0 | 0.0 | 7.0 | Married | 33172.0 |